A Bernsteinian analysis of the interplay between legal knowledge and the legal professional in university law schools in Yorkshire and Alberta : rule of Law or Rule of Lawyers?
Bibliographic record
Abstract
This thesis explores University-level legal education in England (specifically Yorkshire) using a theory-oriented case study method as a way to analyse and develop to a new context a suite of concepts derived from the work of Basil Bernstein, including classification and framing, the pedagogic device and pedagogic identities. It uses Canada (specifically Alberta) as a comparator research site using a structured, focused comparison approach (George & Bennett, 2005). The research was triggered by concerns about the impact on University-level legal education of the ongoing changes to the entry level qualifications for the legal profession in England that have been initiated by the Solicitors Regulation Authority, and the rapid expansion in the numbers of students studying law. The research is centred on a macro-level study of the interplay between the legal professional and his/her documentary and visual representation and the classification and framing of legal knowledge in university law schools in England. It identifies, illustrates and analyses some of the nuances in the interplay between the actors and substantive knowledge base in what Bernstein refers to as the Official Recontextualising Field (ORF) and the Pedagogic Recontextualising Field (PRF) of legal education. It develops Bernstein’s concepts in the context of legal education, most notably through analysis of what is referred to here as a Specialised Recontextualising Field (SRF), which incorporates the contemplation of a range of specialised discourses in legal education. This leads to the development of specialised theoretical identities that emerged from analysis of the research data. These are referred to here as the Democratic Intellectual, the Democratic Professional and the Democratic Technologist. The key findings are discussed leading to proposals for their use in legal education curriculum design and policy development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.012 | 0.032 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".